Overview

Brought to you by YData

Dataset statistics

Number of variables31
Number of observations3603
Missing cells1815
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 MiB
Average record size in memory3.6 KiB

Variable types

Text8
Categorical17
URL1
DateTime2
Numeric3

Alerts

place_status has constant value "En ligne" Constant
department_code has constant value "93" Constant
zone_pat has constant value "PAT du Département de Seine-Saint-Denis" Constant
epci_name has constant value "Métropole du Grand Paris" Constant
category_name is highly overall correlated with social_urgencyHigh correlation
city is highly overall correlated with latitude and 2 other fieldsHigh correlation
latitude is highly overall correlated with cityHigh correlation
longitude is highly overall correlated with cityHigh correlation
network_name is highly overall correlated with source_infoHigh correlation
not_free is highly overall correlated with prmHigh correlation
on_appointment is highly overall correlated with on_restricted_accessHigh correlation
on_restricted_access is highly overall correlated with on_appointmentHigh correlation
postal_code is highly overall correlated with cityHigh correlation
prm is highly overall correlated with not_freeHigh correlation
social_urgency is highly overall correlated with category_nameHigh correlation
source_info is highly overall correlated with network_nameHigh correlation
network_name is highly imbalanced (73.2%) Imbalance
source_info is highly imbalanced (76.2%) Imbalance
place_type is highly imbalanced (93.4%) Imbalance
not_free is highly imbalanced (67.4%) Imbalance
on_orientation is highly imbalanced (65.3%) Imbalance
place_description has 222 (6.2%) missing values Missing
service_description has 1499 (41.6%) missing values Missing

Reproduction

Analysis started2025-02-17 16:12:21.326696
Analysis finished2025-02-17 16:12:24.127860
Duration2.8 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Distinct3509
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size257.0 KiB
2025-02-17T17:12:24.252450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters86472
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3429 ?
Unique (%)95.2%

Sample

1st row6181a6d58ac6b179ffb9fe30
2nd row6181a6d58ac6b179ffb9fe33
3rd row6181a6d58ac6b179ffb9fe34
4th row6181a6d58ac6b179ffb9fe35
5th row6181a6d58ac6b179ffb9fe38
ValueCountFrequency (%)
63ee5a4b049cf69648be8836 5
 
0.1%
63ee6770049cf69648be99cc 5
 
0.1%
63ee536b049cf69648be750d 4
 
0.1%
63ef55d4049cf69648bfa195 4
 
0.1%
6181a7a98ac6b179ffba1c9d 3
 
0.1%
6181a7a98ac6b179ffba1c9e 3
 
0.1%
6181a7a98ac6b179ffba1c9b 3
 
0.1%
6181a7a98ac6b179ffba1c9c 3
 
0.1%
6719e9bc6a2f3874e9c14560 2
 
0.1%
675d238b8faae328b8523c53 2
 
0.1%
Other values (3499) 3569
99.1%
2025-02-17T17:12:24.493676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9942
11.5%
6 9644
11.2%
a 9335
10.8%
8 8477
9.8%
f 7271
8.4%
b 7184
8.3%
7 6018
 
7.0%
9 5215
 
6.0%
c 4907
 
5.7%
2 3174
 
3.7%
Other values (6) 15305
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53177
61.5%
Lowercase Letter 33295
38.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9942
18.7%
6 9644
18.1%
8 8477
15.9%
7 6018
11.3%
9 5215
9.8%
2 3174
 
6.0%
4 3058
 
5.8%
0 2604
 
4.9%
3 2591
 
4.9%
5 2454
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 9335
28.0%
f 7271
21.8%
b 7184
21.6%
c 4907
14.7%
e 2327
 
7.0%
d 2271
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 53177
61.5%
Latin 33295
38.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9942
18.7%
6 9644
18.1%
8 8477
15.9%
7 6018
11.3%
9 5215
9.8%
2 3174
 
6.0%
4 3058
 
5.8%
0 2604
 
4.9%
3 2591
 
4.9%
5 2454
 
4.6%
Latin
ValueCountFrequency (%)
a 9335
28.0%
f 7271
21.8%
b 7184
21.6%
c 4907
14.7%
e 2327
 
7.0%
d 2271
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9942
11.5%
6 9644
11.2%
a 9335
10.8%
8 8477
9.8%
f 7271
8.4%
b 7184
8.3%
7 6018
 
7.0%
9 5215
 
6.0%
c 4907
 
5.7%
2 3174
 
3.7%
Other values (6) 15305
17.7%
Distinct1020
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size257.0 KiB
2025-02-17T17:12:24.652900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters86472
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)8.5%

Sample

1st row5a58c0c7c1797fe45e3772bc
2nd row5a58c0c7c1797fe45e3772bc
3rd row5a58c0c7c1797fe45e3772bc
4th row5a58c0c7c1797fe45e3772bc
5th row5a58c0c7c1797fe45e3772bc
ValueCountFrequency (%)
5c6ad4be3f62c65f6780a66c 21
 
0.6%
5ae085ff7cdc26742ba37b9c 20
 
0.6%
5aec5c9c7cdc26742ba38172 19
 
0.5%
5a58c0c7c1797fe45e377312 19
 
0.5%
5e27185621e0fe72dc86fe32 18
 
0.5%
5e85e1707a7a9543f64988b5 18
 
0.5%
5e21db992af644759631498f 17
 
0.5%
5addaf357cdc26742ba37a09 16
 
0.4%
60784af407952e60bcb04b3d 16
 
0.4%
5e85a5567a7a9543f649888c 15
 
0.4%
Other values (1010) 3424
95.0%
2025-02-17T17:12:24.905166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 6873
 
7.9%
5 6657
 
7.7%
6 6313
 
7.3%
c 5991
 
6.9%
2 5940
 
6.9%
d 5863
 
6.8%
4 5834
 
6.7%
a 5566
 
6.4%
b 5392
 
6.2%
e 5183
 
6.0%
Other values (6) 26860
31.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53620
62.0%
Lowercase Letter 32852
38.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6873
12.8%
5 6657
12.4%
6 6313
11.8%
2 5940
11.1%
4 5834
10.9%
8 5119
9.5%
3 4925
9.2%
9 4096
7.6%
1 3984
7.4%
0 3879
7.2%
Lowercase Letter
ValueCountFrequency (%)
c 5991
18.2%
d 5863
17.8%
a 5566
16.9%
b 5392
16.4%
e 5183
15.8%
f 4857
14.8%

Most occurring scripts

ValueCountFrequency (%)
Common 53620
62.0%
Latin 32852
38.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 6873
12.8%
5 6657
12.4%
6 6313
11.8%
2 5940
11.1%
4 5834
10.9%
8 5119
9.5%
3 4925
9.2%
9 4096
7.6%
1 3984
7.4%
0 3879
7.2%
Latin
ValueCountFrequency (%)
c 5991
18.2%
d 5863
17.8%
a 5566
16.9%
b 5392
16.4%
e 5183
15.8%
f 4857
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 6873
 
7.9%
5 6657
 
7.7%
6 6313
 
7.3%
c 5991
 
6.9%
2 5940
 
6.9%
d 5863
 
6.8%
4 5834
 
6.7%
a 5566
 
6.4%
b 5392
 
6.2%
e 5183
 
6.0%
Other values (6) 26860
31.1%
Distinct883
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size428.1 KiB
2025-02-17T17:12:25.075235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length126
Median length88
Mean length37.461005
Min length4

Characters and Unicode

Total characters134972
Distinct characters90
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)4.9%

Sample

1st rowLe Refuge de Pantin
2nd rowLe Refuge de Pantin
3rd rowLe Refuge de Pantin
4th rowLe Refuge de Pantin
5th rowLe Refuge de Pantin
ValueCountFrequency (%)
de 1985
 
10.0%
1045
 
5.3%
centre 776
 
3.9%
du 520
 
2.6%
santé 470
 
2.4%
municipal 389
 
2.0%
la 372
 
1.9%
maison 337
 
1.7%
social 313
 
1.6%
pmi 300
 
1.5%
Other values (936) 13394
67.3%
2025-02-17T17:12:25.354204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16370
 
12.1%
e 13911
 
10.3%
i 10054
 
7.4%
n 8258
 
6.1%
a 7827
 
5.8%
t 6654
 
4.9%
r 6436
 
4.8%
o 6403
 
4.7%
s 6077
 
4.5%
l 5374
 
4.0%
Other values (80) 47608
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 94505
70.0%
Uppercase Letter 19173
 
14.2%
Space Separator 16370
 
12.1%
Dash Punctuation 2403
 
1.8%
Other Punctuation 968
 
0.7%
Close Punctuation 506
 
0.4%
Open Punctuation 506
 
0.4%
Decimal Number 320
 
0.2%
Final Punctuation 205
 
0.2%
Initial Punctuation 16
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13911
14.7%
i 10054
10.6%
n 8258
8.7%
a 7827
8.3%
t 6654
 
7.0%
r 6436
 
6.8%
o 6403
 
6.8%
s 6077
 
6.4%
l 5374
 
5.7%
u 5027
 
5.3%
Other values (30) 18484
19.6%
Uppercase Letter
ValueCountFrequency (%)
S 3258
17.0%
C 2890
15.1%
M 2085
10.9%
A 1756
9.2%
P 1591
8.3%
D 987
 
5.1%
L 916
 
4.8%
B 779
 
4.1%
R 775
 
4.0%
I 724
 
3.8%
Other values (17) 3412
17.8%
Decimal Number
ValueCountFrequency (%)
3 83
25.9%
9 81
25.3%
0 47
14.7%
1 44
13.8%
2 32
 
10.0%
8 14
 
4.4%
4 12
 
3.8%
6 5
 
1.6%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
' 434
44.8%
. 208
21.5%
/ 186
19.2%
, 82
 
8.5%
" 32
 
3.3%
: 22
 
2.3%
& 4
 
0.4%
Final Punctuation
ValueCountFrequency (%)
189
92.2%
» 16
 
7.8%
Space Separator
ValueCountFrequency (%)
16370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 506
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113678
84.2%
Common 21294
 
15.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13911
 
12.2%
i 10054
 
8.8%
n 8258
 
7.3%
a 7827
 
6.9%
t 6654
 
5.9%
r 6436
 
5.7%
o 6403
 
5.6%
s 6077
 
5.3%
l 5374
 
4.7%
u 5027
 
4.4%
Other values (57) 37657
33.1%
Common
ValueCountFrequency (%)
16370
76.9%
- 2403
 
11.3%
) 506
 
2.4%
( 506
 
2.4%
' 434
 
2.0%
. 208
 
1.0%
189
 
0.9%
/ 186
 
0.9%
3 83
 
0.4%
, 82
 
0.4%
Other values (13) 327
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132447
98.1%
None 2319
 
1.7%
Punctuation 189
 
0.1%
Alphabetic PF 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16370
 
12.4%
e 13911
 
10.5%
i 10054
 
7.6%
n 8258
 
6.2%
a 7827
 
5.9%
t 6654
 
5.0%
r 6436
 
4.9%
o 6403
 
4.8%
s 6077
 
4.6%
l 5374
 
4.1%
Other values (61) 45083
34.0%
None
ValueCountFrequency (%)
é 1590
68.6%
è 265
 
11.4%
à 148
 
6.4%
ô 112
 
4.8%
É 57
 
2.5%
ç 34
 
1.5%
ü 25
 
1.1%
â 20
 
0.9%
« 16
 
0.7%
ê 16
 
0.7%
Other values (6) 36
 
1.6%
Punctuation
ValueCountFrequency (%)
189
100.0%
Alphabetic PF
ValueCountFrequency (%)
9
52.9%
8
47.1%

place_status
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size200.7 KiB
En ligne
3603 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters28824
Distinct characters7
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEn ligne
2nd rowEn ligne
3rd rowEn ligne
4th rowEn ligne
5th rowEn ligne

Common Values

ValueCountFrequency (%)
En ligne 3603
100.0%

Length

2025-02-17T17:12:25.454438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:25.524448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
en 3603
50.0%
ligne 3603
50.0%

Most occurring characters

ValueCountFrequency (%)
n 7206
25.0%
E 3603
12.5%
3603
12.5%
l 3603
12.5%
i 3603
12.5%
g 3603
12.5%
e 3603
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21618
75.0%
Uppercase Letter 3603
 
12.5%
Space Separator 3603
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 7206
33.3%
l 3603
16.7%
i 3603
16.7%
g 3603
16.7%
e 3603
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 3603
100.0%
Space Separator
ValueCountFrequency (%)
3603
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25221
87.5%
Common 3603
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 7206
28.6%
E 3603
14.3%
l 3603
14.3%
i 3603
14.3%
g 3603
14.3%
e 3603
14.3%
Common
ValueCountFrequency (%)
3603
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 7206
25.0%
E 3603
12.5%
3603
12.5%
l 3603
12.5%
i 3603
12.5%
g 3603
12.5%
e 3603
12.5%
Distinct1020
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size433.5 KiB
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-docteur-pesque-aubervilliers-5341
 
21
https://soliguide.fr/fr/fiche/pass-du-centre-hospitalier-de-saint-denis-2766
 
20
https://soliguide.fr/fr/fiche/la-marmite-bondy-3116
 
19
https://soliguide.fr/fr/fiche/caarud-proses-saint-denis-136
 
19
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-savattero-montreuil-7240
 
18
Other values (1015)
3506 
ValueCountFrequency (%)
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-docteur-pesque-aubervilliers-5341 21
 
0.6%
https://soliguide.fr/fr/fiche/pass-du-centre-hospitalier-de-saint-denis-2766 20
 
0.6%
https://soliguide.fr/fr/fiche/la-marmite-bondy-3116 19
 
0.5%
https://soliguide.fr/fr/fiche/caarud-proses-saint-denis-136 19
 
0.5%
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-savattero-montreuil-7240 18
 
0.5%
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-elsa-rustin-bagnolet-8246 18
 
0.5%
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-henri-barbusse-saint-ouen-7193 17
 
0.5%
https://soliguide.fr/fr/fiche/association-ikambere-la-maison-accueillante-saint-denis-2661 16
 
0.4%
https://soliguide.fr/fr/fiche/epicerie-solidaire-aurore-montreuil-11844 16
 
0.4%
https://soliguide.fr/fr/fiche/centre-municipal-de-sante-cygne-saint-denis-8217 15
 
0.4%
Other values (1010) 3424
95.0%
ValueCountFrequency (%)
https 3603
100.0%
ValueCountFrequency (%)
soliguide.fr 3603
100.0%
ValueCountFrequency (%)
/fr/fiche/centre-municipal-de-sante-docteur-pesque-aubervilliers-5341 21
 
0.6%
/fr/fiche/pass-du-centre-hospitalier-de-saint-denis-2766 20
 
0.6%
/fr/fiche/la-marmite-bondy-3116 19
 
0.5%
/fr/fiche/caarud-proses-saint-denis-136 19
 
0.5%
/fr/fiche/centre-municipal-de-sante-savattero-montreuil-7240 18
 
0.5%
/fr/fiche/centre-municipal-de-sante-elsa-rustin-bagnolet-8246 18
 
0.5%
/fr/fiche/centre-municipal-de-sante-henri-barbusse-saint-ouen-7193 17
 
0.5%
/fr/fiche/association-ikambere-la-maison-accueillante-saint-denis-2661 16
 
0.4%
/fr/fiche/epicerie-solidaire-aurore-montreuil-11844 16
 
0.4%
/fr/fiche/centre-municipal-de-sante-cygne-saint-denis-8217 15
 
0.4%
Other values (1010) 3424
95.0%
ValueCountFrequency (%)
3603
100.0%
ValueCountFrequency (%)
3603
100.0%
Distinct1013
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
Minimum2018-01-12 14:05:59
Maximum2024-12-10 06:22:59.642000
Invalid dates0
Invalid dates (%)0.0%
2025-02-17T17:12:25.602963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:25.704612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1020
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
Minimum2024-04-10 13:24:53.087000
Maximum2025-02-09 08:10:04.418000
Invalid dates0
Invalid dates (%)0.0%
2025-02-17T17:12:25.798785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:25.909208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct388
Distinct (%)10.8%
Missing22
Missing (%)0.6%
Memory size256.1 KiB
2025-02-17T17:12:26.076739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters85944
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)0.9%

Sample

1st row5fb647db3cb90874d9ab1bbe
2nd row5fb647db3cb90874d9ab1bbe
3rd row5fb647db3cb90874d9ab1bbe
4th row5fb647db3cb90874d9ab1bbe
5th row5fb647db3cb90874d9ab1bbe
ValueCountFrequency (%)
5fb64ea73cb90874d9ab1d06 294
 
8.2%
5fb64b5d3cb90874d9ab1c48 194
 
5.4%
5fb647f73cb90874d9ab1bc3 161
 
4.5%
62ac87d4f5f4045e5823dc63 103
 
2.9%
669a6a1f524ef2f54ca0f309 74
 
2.1%
5fcf4ab057e7cc6a57f6dc64 74
 
2.1%
5fb6488d3cb90874d9ab1bf0 73
 
2.0%
5fb64e773cb90874d9ab1d05 63
 
1.8%
605b1e18c2e4231d5182f214 50
 
1.4%
5fb64d273cb90874d9ab1cad 42
 
1.2%
Other values (378) 2453
68.5%
2025-02-17T17:12:26.346608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
b 10058
11.7%
4 7658
 
8.9%
c 6738
 
7.8%
9 6718
 
7.8%
6 6058
 
7.0%
f 5269
 
6.1%
d 5258
 
6.1%
a 5225
 
6.1%
5 5059
 
5.9%
7 5046
 
5.9%
Other values (6) 22857
26.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51081
59.4%
Lowercase Letter 34863
40.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7658
15.0%
9 6718
13.2%
6 6058
11.9%
5 5059
9.9%
7 5046
9.9%
8 4911
9.6%
0 4803
9.4%
3 4440
8.7%
1 4423
8.7%
2 1965
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
b 10058
28.9%
c 6738
19.3%
f 5269
15.1%
d 5258
15.1%
a 5225
15.0%
e 2315
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 51081
59.4%
Latin 34863
40.6%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7658
15.0%
9 6718
13.2%
6 6058
11.9%
5 5059
9.9%
7 5046
9.9%
8 4911
9.6%
0 4803
9.4%
3 4440
8.7%
1 4423
8.7%
2 1965
 
3.8%
Latin
ValueCountFrequency (%)
b 10058
28.9%
c 6738
19.3%
f 5269
15.1%
d 5258
15.1%
a 5225
15.0%
e 2315
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
b 10058
11.7%
4 7658
 
8.9%
c 6738
 
7.8%
9 6718
 
7.8%
6 6058
 
7.0%
f 5269
 
6.1%
d 5258
 
6.1%
a 5225
 
6.1%
5 5059
 
5.9%
7 5046
 
5.9%
Other values (6) 22857
26.6%
Distinct387
Distinct (%)10.8%
Missing22
Missing (%)0.6%
Memory size424.6 KiB
2025-02-17T17:12:26.571469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length79
Median length61
Mean length36.104161
Min length4

Characters and Unicode

Total characters129289
Distinct characters87
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)0.9%

Sample

1st rowLe Refuge de Pantin
2nd rowLe Refuge de Pantin
3rd rowLe Refuge de Pantin
4th rowLe Refuge de Pantin
5th rowLe Refuge de Pantin
ValueCountFrequency (%)
de 1975
 
11.2%
seine-saint-denis 1104
 
6.3%
1062
 
6.0%
la 930
 
5.3%
centre 416
 
2.4%
association 355
 
2.0%
santé 344
 
2.0%
social 331
 
1.9%
du 311
 
1.8%
des 308
 
1.8%
Other values (599) 10461
59.4%
2025-02-17T17:12:26.924066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 14676
 
11.4%
14223
 
11.0%
i 10957
 
8.5%
n 9383
 
7.3%
a 8467
 
6.5%
t 7164
 
5.5%
s 6952
 
5.4%
r 5309
 
4.1%
o 5168
 
4.0%
l 4825
 
3.7%
Other values (77) 42165
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 92912
71.9%
Uppercase Letter 16703
 
12.9%
Space Separator 14223
 
11.0%
Dash Punctuation 4099
 
3.2%
Decimal Number 534
 
0.4%
Other Punctuation 478
 
0.4%
Open Punctuation 163
 
0.1%
Close Punctuation 163
 
0.1%
Final Punctuation 10
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 14676
15.8%
i 10957
11.8%
n 9383
10.1%
a 8467
9.1%
t 7164
7.7%
s 6952
7.5%
r 5309
 
5.7%
o 5168
 
5.6%
l 4825
 
5.2%
d 3876
 
4.2%
Other values (29) 16135
17.4%
Uppercase Letter
ValueCountFrequency (%)
S 4092
24.5%
D 2213
13.2%
C 2027
12.1%
M 1504
 
9.0%
A 1290
 
7.7%
P 1178
 
7.1%
E 603
 
3.6%
I 570
 
3.4%
F 553
 
3.3%
R 516
 
3.1%
Other values (17) 2157
12.9%
Decimal Number
ValueCountFrequency (%)
3 221
41.4%
9 217
40.6%
2 29
 
5.4%
1 25
 
4.7%
0 14
 
2.6%
8 9
 
1.7%
4 7
 
1.3%
5 5
 
0.9%
6 5
 
0.9%
7 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
' 347
72.6%
/ 77
 
16.1%
, 30
 
6.3%
" 20
 
4.2%
: 4
 
0.8%
Space Separator
ValueCountFrequency (%)
14223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4099
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Final Punctuation
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
° 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 109615
84.8%
Common 19674
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 14676
13.4%
i 10957
 
10.0%
n 9383
 
8.6%
a 8467
 
7.7%
t 7164
 
6.5%
s 6952
 
6.3%
r 5309
 
4.8%
o 5168
 
4.7%
l 4825
 
4.4%
S 4092
 
3.7%
Other values (56) 32622
29.8%
Common
ValueCountFrequency (%)
14223
72.3%
- 4099
 
20.8%
' 347
 
1.8%
3 221
 
1.1%
9 217
 
1.1%
( 163
 
0.8%
) 163
 
0.8%
/ 77
 
0.4%
, 30
 
0.2%
2 29
 
0.1%
Other values (11) 105
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126726
98.0%
None 2542
 
2.0%
Alphabetic PF 11
 
< 0.1%
Punctuation 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 14676
 
11.6%
14223
 
11.2%
i 10957
 
8.6%
n 9383
 
7.4%
a 8467
 
6.7%
t 7164
 
5.7%
s 6952
 
5.5%
r 5309
 
4.2%
o 5168
 
4.1%
l 4825
 
3.8%
Other values (60) 39602
31.3%
None
ValueCountFrequency (%)
é 1890
74.4%
è 194
 
7.6%
œ 161
 
6.3%
ç 126
 
5.0%
Î 40
 
1.6%
ô 34
 
1.3%
ü 32
 
1.3%
â 20
 
0.8%
É 14
 
0.6%
ê 14
 
0.6%
Other values (4) 17
 
0.7%
Punctuation
ValueCountFrequency (%)
10
100.0%
Alphabetic PF
ValueCountFrequency (%)
8
72.7%
3
 
27.3%

network_name
Categorical

High correlation  Imbalance 

Distinct5
Distinct (%)0.1%
Missing22
Missing (%)0.6%
Memory size201.0 KiB
Autre
3241 
Restos du Cœur
 
161
Secours Catholique
 
74
Secours Populaire
 
73
Croix-Rouge
 
32

Length

Max length18
Median length5
Mean length5.9715163
Min length5

Characters and Unicode

Total characters21384
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAutre
2nd rowAutre
3rd rowAutre
4th rowAutre
5th rowAutre

Common Values

ValueCountFrequency (%)
Autre 3241
90.0%
Restos du Cœur 161
 
4.5%
Secours Catholique 74
 
2.1%
Secours Populaire 73
 
2.0%
Croix-Rouge 32
 
0.9%
(Missing) 22
 
0.6%

Length

2025-02-17T17:12:27.032152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:27.115115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
autre 3241
80.0%
restos 161
 
4.0%
du 161
 
4.0%
cœur 161
 
4.0%
secours 147
 
3.6%
catholique 74
 
1.8%
populaire 73
 
1.8%
croix-rouge 32
 
0.8%

Most occurring characters

ValueCountFrequency (%)
u 3889
18.2%
e 3728
17.4%
r 3654
17.1%
t 3476
16.3%
A 3241
15.2%
o 519
 
2.4%
s 469
 
2.2%
469
 
2.2%
C 267
 
1.2%
R 193
 
0.9%
Other values (14) 1479
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16962
79.3%
Uppercase Letter 3921
 
18.3%
Space Separator 469
 
2.2%
Dash Punctuation 32
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 3889
22.9%
e 3728
22.0%
r 3654
21.5%
t 3476
20.5%
o 519
 
3.1%
s 469
 
2.8%
i 179
 
1.1%
d 161
 
0.9%
œ 161
 
0.9%
a 147
 
0.9%
Other values (7) 579
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 3241
82.7%
C 267
 
6.8%
R 193
 
4.9%
S 147
 
3.7%
P 73
 
1.9%
Space Separator
ValueCountFrequency (%)
469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20883
97.7%
Common 501
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 3889
18.6%
e 3728
17.9%
r 3654
17.5%
t 3476
16.6%
A 3241
15.5%
o 519
 
2.5%
s 469
 
2.2%
C 267
 
1.3%
R 193
 
0.9%
i 179
 
0.9%
Other values (12) 1268
 
6.1%
Common
ValueCountFrequency (%)
469
93.6%
- 32
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21223
99.2%
None 161
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 3889
18.3%
e 3728
17.6%
r 3654
17.2%
t 3476
16.4%
A 3241
15.3%
o 519
 
2.4%
s 469
 
2.2%
469
 
2.2%
C 267
 
1.3%
R 193
 
0.9%
Other values (13) 1318
 
6.2%
None
ValueCountFrequency (%)
œ 161
100.0%

source_info
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size204.5 KiB
Soliguide
3340 
restos
 
125
dora
 
113
Croix-Rouge française
 
25

Length

Max length21
Median length9
Mean length8.8223702
Min length4

Characters and Unicode

Total characters31787
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSoliguide
2nd rowSoliguide
3rd rowSoliguide
4th rowSoliguide
5th rowSoliguide

Common Values

ValueCountFrequency (%)
Soliguide 3340
92.7%
restos 125
 
3.5%
dora 113
 
3.1%
Croix-Rouge française 25
 
0.7%

Length

2025-02-17T17:12:27.197567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:27.276106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
soliguide 3340
92.1%
restos 125
 
3.4%
dora 113
 
3.1%
croix-rouge 25
 
0.7%
française 25
 
0.7%

Most occurring characters

ValueCountFrequency (%)
i 6730
21.2%
o 3628
11.4%
e 3515
11.1%
d 3453
10.9%
u 3365
10.6%
g 3365
10.6%
l 3340
10.5%
S 3340
10.5%
r 288
 
0.9%
s 275
 
0.9%
Other values (10) 488
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28347
89.2%
Uppercase Letter 3390
 
10.7%
Dash Punctuation 25
 
0.1%
Space Separator 25
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 6730
23.7%
o 3628
12.8%
e 3515
12.4%
d 3453
12.2%
u 3365
11.9%
g 3365
11.9%
l 3340
11.8%
r 288
 
1.0%
s 275
 
1.0%
a 163
 
0.6%
Other values (5) 225
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
S 3340
98.5%
C 25
 
0.7%
R 25
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31737
99.8%
Common 50
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 6730
21.2%
o 3628
11.4%
e 3515
11.1%
d 3453
10.9%
u 3365
10.6%
g 3365
10.6%
l 3340
10.5%
S 3340
10.5%
r 288
 
0.9%
s 275
 
0.9%
Other values (8) 438
 
1.4%
Common
ValueCountFrequency (%)
- 25
50.0%
25
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31762
99.9%
None 25
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 6730
21.2%
o 3628
11.4%
e 3515
11.1%
d 3453
10.9%
u 3365
10.6%
g 3365
10.6%
l 3340
10.5%
S 3340
10.5%
r 288
 
0.9%
s 275
 
0.9%
Other values (9) 463
 
1.5%
None
ValueCountFrequency (%)
ç 25
100.0%
Distinct78
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size278.7 KiB
2025-02-17T17:12:27.448670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length15.943658
Min length4

Characters and Unicode

Total characters57445
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowAccueil de jour
2nd rowLaverie
3rd rowDouche
4th rowAccompagnement social
5th rowBagagerie
ValueCountFrequency (%)
accompagnement 484
 
7.1%
à 356
 
5.2%
conseil 321
 
4.7%
social 261
 
3.8%
activités 236
 
3.5%
l'emploi 223
 
3.3%
diverses 210
 
3.1%
de 208
 
3.1%
juridique 191
 
2.8%
permanence 191
 
2.8%
Other values (102) 4121
60.6%
2025-02-17T17:12:27.728079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 6591
 
11.5%
e 5984
 
10.4%
n 4175
 
7.3%
o 3671
 
6.4%
s 3444
 
6.0%
a 3369
 
5.9%
t 3358
 
5.8%
3199
 
5.6%
r 2808
 
4.9%
c 2468
 
4.3%
Other values (44) 18378
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50172
87.3%
Uppercase Letter 3603
 
6.3%
Space Separator 3199
 
5.6%
Other Punctuation 382
 
0.7%
Dash Punctuation 89
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 6591
13.1%
e 5984
11.9%
n 4175
 
8.3%
o 3671
 
7.3%
s 3444
 
6.9%
a 3369
 
6.7%
t 3358
 
6.7%
r 2808
 
5.6%
c 2468
 
4.9%
l 2300
 
4.6%
Other values (18) 12004
23.9%
Uppercase Letter
ValueCountFrequency (%)
A 921
25.6%
C 632
17.5%
P 448
12.4%
D 317
 
8.8%
S 305
 
8.5%
G 154
 
4.3%
O 123
 
3.4%
I 105
 
2.9%
F 99
 
2.7%
É 92
 
2.6%
Other values (12) 407
11.3%
Other Punctuation
ValueCountFrequency (%)
' 380
99.5%
/ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
3199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53775
93.6%
Common 3670
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 6591
12.3%
e 5984
 
11.1%
n 4175
 
7.8%
o 3671
 
6.8%
s 3444
 
6.4%
a 3369
 
6.3%
t 3358
 
6.2%
r 2808
 
5.2%
c 2468
 
4.6%
l 2300
 
4.3%
Other values (40) 15607
29.0%
Common
ValueCountFrequency (%)
3199
87.2%
' 380
 
10.4%
- 89
 
2.4%
/ 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55758
97.1%
None 1687
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 6591
 
11.8%
e 5984
 
10.7%
n 4175
 
7.5%
o 3671
 
6.6%
s 3444
 
6.2%
a 3369
 
6.0%
t 3358
 
6.0%
3199
 
5.7%
r 2808
 
5.0%
c 2468
 
4.4%
Other values (38) 16691
29.9%
None
ValueCountFrequency (%)
é 993
58.9%
à 356
 
21.1%
ç 126
 
7.5%
É 92
 
5.5%
ê 63
 
3.7%
è 57
 
3.4%

category_name
Categorical

High correlation 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size245.3 KiB
Conseil
862 
Santé
740 
Formation et emploi
549 
Alimentation
339 
Activités
282 
Other values (7)
831 

Length

Max length23
Median length20
Mean length9.9086872
Min length5

Characters and Unicode

Total characters35701
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAccueil
2nd rowHygiène
3rd rowHygiène
4th rowConseil
5th rowMatériel

Common Values

ValueCountFrequency (%)
Conseil 862
23.9%
Santé 740
20.5%
Formation et emploi 549
15.2%
Alimentation 339
 
9.4%
Activités 282
 
7.8%
Technologie 222
 
6.2%
Spécialistes 211
 
5.9%
Accueil 130
 
3.6%
Hygiène 121
 
3.4%
Matériel 72
 
2.0%
Other values (2) 75
 
2.1%

Length

2025-02-17T17:12:27.837932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
conseil 862
17.8%
santé 740
15.3%
et 590
12.2%
formation 549
11.3%
emploi 549
11.3%
alimentation 339
 
7.0%
activités 282
 
5.8%
technologie 222
 
4.6%
spécialistes 211
 
4.3%
accueil 130
 
2.7%
Other values (7) 377
7.8%

Most occurring characters

ValueCountFrequency (%)
i 4237
11.9%
t 3554
10.0%
e 3523
9.9%
o 3401
 
9.5%
n 3288
 
9.2%
l 2419
 
6.8%
a 1945
 
5.4%
s 1600
 
4.5%
m 1553
 
4.4%
é 1380
 
3.9%
Other values (20) 8801
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30775
86.2%
Uppercase Letter 3644
 
10.2%
Space Separator 1248
 
3.5%
Other Punctuation 34
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 4237
13.8%
t 3554
11.5%
e 3523
11.4%
o 3401
11.1%
n 3288
10.7%
l 2419
7.9%
a 1945
6.3%
s 1600
 
5.2%
m 1553
 
5.0%
é 1380
 
4.5%
Other values (10) 3875
12.6%
Uppercase Letter
ValueCountFrequency (%)
S 951
26.1%
C 862
23.7%
A 751
20.6%
F 549
15.1%
T 256
 
7.0%
H 162
 
4.4%
M 72
 
2.0%
L 41
 
1.1%
Space Separator
ValueCountFrequency (%)
1248
100.0%
Other Punctuation
ValueCountFrequency (%)
& 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34419
96.4%
Common 1282
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 4237
12.3%
t 3554
10.3%
e 3523
10.2%
o 3401
9.9%
n 3288
9.6%
l 2419
 
7.0%
a 1945
 
5.7%
s 1600
 
4.6%
m 1553
 
4.5%
é 1380
 
4.0%
Other values (18) 7519
21.8%
Common
ValueCountFrequency (%)
1248
97.3%
& 34
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34200
95.8%
None 1501
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 4237
12.4%
t 3554
10.4%
e 3523
10.3%
o 3401
9.9%
n 3288
9.6%
l 2419
 
7.1%
a 1945
 
5.7%
s 1600
 
4.7%
m 1553
 
4.5%
1248
 
3.6%
Other values (18) 7432
21.7%
None
ValueCountFrequency (%)
é 1380
91.9%
è 121
 
8.1%

social_urgency
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size186.6 KiB
FAUX
3186 
VRAI
417 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters14412
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVRAI
2nd rowVRAI
3rd rowVRAI
4th rowFAUX
5th rowVRAI

Common Values

ValueCountFrequency (%)
FAUX 3186
88.4%
VRAI 417
 
11.6%

Length

2025-02-17T17:12:27.916462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:27.995000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
faux 3186
88.4%
vrai 417
 
11.6%

Most occurring characters

ValueCountFrequency (%)
A 3603
25.0%
F 3186
22.1%
U 3186
22.1%
X 3186
22.1%
V 417
 
2.9%
R 417
 
2.9%
I 417
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 14412
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 3603
25.0%
F 3186
22.1%
U 3186
22.1%
X 3186
22.1%
V 417
 
2.9%
R 417
 
2.9%
I 417
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 14412
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 3603
25.0%
F 3186
22.1%
U 3186
22.1%
X 3186
22.1%
V 417
 
2.9%
R 417
 
2.9%
I 417
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 3603
25.0%
F 3186
22.1%
U 3186
22.1%
X 3186
22.1%
V 417
 
2.9%
R 417
 
2.9%
I 417
 
2.9%

place_type
Categorical

Imbalance 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size186.9 KiB
LIEU
3575 
PARCOURS_MOBILE
 
28

Length

Max length15
Median length4
Mean length4.0854843
Min length4

Characters and Unicode

Total characters14720
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLIEU
2nd rowLIEU
3rd rowLIEU
4th rowLIEU
5th rowLIEU

Common Values

ValueCountFrequency (%)
LIEU 3575
99.2%
PARCOURS_MOBILE 28
 
0.8%

Length

2025-02-17T17:12:28.082583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:28.154192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
lieu 3575
99.2%
parcours_mobile 28
 
0.8%

Most occurring characters

ValueCountFrequency (%)
L 3603
24.5%
I 3603
24.5%
E 3603
24.5%
U 3603
24.5%
R 56
 
0.4%
O 56
 
0.4%
P 28
 
0.2%
A 28
 
0.2%
C 28
 
0.2%
S 28
 
0.2%
Other values (3) 84
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 14692
99.8%
Connector Punctuation 28
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 3603
24.5%
I 3603
24.5%
E 3603
24.5%
U 3603
24.5%
R 56
 
0.4%
O 56
 
0.4%
P 28
 
0.2%
A 28
 
0.2%
C 28
 
0.2%
S 28
 
0.2%
Other values (2) 56
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14692
99.8%
Common 28
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 3603
24.5%
I 3603
24.5%
E 3603
24.5%
U 3603
24.5%
R 56
 
0.4%
O 56
 
0.4%
P 28
 
0.2%
A 28
 
0.2%
C 28
 
0.2%
S 28
 
0.2%
Other values (2) 56
 
0.4%
Common
ValueCountFrequency (%)
_ 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
L 3603
24.5%
I 3603
24.5%
E 3603
24.5%
U 3603
24.5%
R 56
 
0.4%
O 56
 
0.4%
P 28
 
0.2%
A 28
 
0.2%
C 28
 
0.2%
S 28
 
0.2%
Other values (3) 84
 
0.6%

city
Categorical

High correlation 

Distinct40
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size218.6 KiB
Saint-Denis
415 
Montreuil
353 
Pantin
 
205
Aubervilliers
 
200
Bobigny
 
177
Other values (35)
2253 

Length

Max length23
Median length17
Mean length11.278102
Min length5

Characters and Unicode

Total characters40635
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPantin
2nd rowPantin
3rd rowPantin
4th rowPantin
5th rowPantin

Common Values

ValueCountFrequency (%)
Saint-Denis 415
 
11.5%
Montreuil 353
 
9.8%
Pantin 205
 
5.7%
Aubervilliers 200
 
5.6%
Bobigny 177
 
4.9%
Saint-Ouen-sur-Seine 148
 
4.1%
Bondy 131
 
3.6%
Drancy 126
 
3.5%
Sevran 115
 
3.2%
Aulnay-sous-Bois 115
 
3.2%
Other values (30) 1618
44.9%

Length

2025-02-17T17:12:28.235771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
saint-denis 415
 
10.5%
montreuil 353
 
8.9%
pantin 205
 
5.2%
aubervilliers 200
 
5.1%
bobigny 177
 
4.5%
le 158
 
4.0%
saint-ouen-sur-seine 148
 
3.7%
bondy 131
 
3.3%
drancy 126
 
3.2%
aulnay-sous-bois 115
 
2.9%
Other values (33) 1919
48.6%

Most occurring characters

ValueCountFrequency (%)
n 4349
 
10.7%
e 4091
 
10.1%
i 4080
 
10.0%
- 2751
 
6.8%
s 2675
 
6.6%
a 2445
 
6.0%
r 2205
 
5.4%
l 2143
 
5.3%
u 1985
 
4.9%
o 1956
 
4.8%
Other values (32) 11955
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31696
78.0%
Uppercase Letter 5804
 
14.3%
Dash Punctuation 2751
 
6.8%
Space Separator 344
 
0.8%
Other Punctuation 40
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4349
13.7%
e 4091
12.9%
i 4080
12.9%
s 2675
8.4%
a 2445
7.7%
r 2205
7.0%
l 2143
6.8%
u 1985
6.3%
o 1956
6.2%
t 1708
 
5.4%
Other values (12) 4059
12.8%
Uppercase Letter
ValueCountFrequency (%)
S 1255
21.6%
B 841
14.5%
D 616
10.6%
M 531
9.1%
L 491
 
8.5%
P 365
 
6.3%
A 315
 
5.4%
N 268
 
4.6%
G 262
 
4.5%
C 181
 
3.1%
Other values (7) 679
11.7%
Dash Punctuation
ValueCountFrequency (%)
- 2751
100.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Other Punctuation
ValueCountFrequency (%)
' 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37500
92.3%
Common 3135
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4349
11.6%
e 4091
10.9%
i 4080
10.9%
s 2675
 
7.1%
a 2445
 
6.5%
r 2205
 
5.9%
l 2143
 
5.7%
u 1985
 
5.3%
o 1956
 
5.2%
t 1708
 
4.6%
Other values (29) 9863
26.3%
Common
ValueCountFrequency (%)
- 2751
87.8%
344
 
11.0%
' 40
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40447
99.5%
None 188
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4349
 
10.8%
e 4091
 
10.1%
i 4080
 
10.1%
- 2751
 
6.8%
s 2675
 
6.6%
a 2445
 
6.0%
r 2205
 
5.5%
l 2143
 
5.3%
u 1985
 
4.9%
o 1956
 
4.8%
Other values (29) 11767
29.1%
None
ValueCountFrequency (%)
É 111
59.0%
Î 40
 
21.3%
é 37
 
19.7%

postal_code
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93283.031
Minimum93000
Maximum93800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2025-02-17T17:12:28.459867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum93000
5-th percentile93100
Q193140
median93230
Q393400
95-th percentile93700
Maximum93800
Range800
Interquartile range (IQR)260

Descriptive statistics

Standard deviation187.10372
Coefficient of variation (CV)0.0020057637
Kurtosis0.48927369
Mean93283.031
Median Absolute Deviation (MAD)110
Skewness0.96197536
Sum3.3609876 × 108
Variance35007.802
MonotonicityNot monotonic
2025-02-17T17:12:28.560009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
93200 355
 
9.9%
93100 353
 
9.8%
93500 203
 
5.6%
93300 199
 
5.5%
93000 177
 
4.9%
93400 148
 
4.1%
93140 131
 
3.6%
93700 126
 
3.5%
93600 115
 
3.2%
93270 115
 
3.2%
Other values (31) 1681
46.7%
ValueCountFrequency (%)
93000 177
4.9%
93100 353
9.8%
93110 93
 
2.6%
93120 112
 
3.1%
93130 86
 
2.4%
93140 131
 
3.6%
93150 75
 
2.1%
93160 94
 
2.6%
93170 114
 
3.2%
93190 66
 
1.8%
ValueCountFrequency (%)
93800 111
3.1%
93700 126
3.5%
93600 115
3.2%
93500 203
5.6%
93470 5
 
0.1%
93460 5
 
0.1%
93450 40
 
1.1%
93440 35
 
1.0%
93430 57
 
1.6%
93420 49
 
1.4%

department_code
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size179.6 KiB
93
3603 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters7206
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row93
2nd row93
3rd row93
4th row93
5th row93

Common Values

ValueCountFrequency (%)
93 3603
100.0%

Length

2025-02-17T17:12:28.659963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:28.728571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
93 3603
100.0%

Most occurring characters

ValueCountFrequency (%)
9 3603
50.0%
3 3603
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7206
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 3603
50.0%
3 3603
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 3603
50.0%
3 3603
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 3603
50.0%
3 3603
50.0%

zone_pat
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing28
Missing (%)0.8%
Memory size507.9 KiB
PAT du Département de Seine-Saint-Denis
3575 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters139425
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPAT du Département de Seine-Saint-Denis
2nd rowPAT du Département de Seine-Saint-Denis
3rd rowPAT du Département de Seine-Saint-Denis
4th rowPAT du Département de Seine-Saint-Denis
5th rowPAT du Département de Seine-Saint-Denis

Common Values

ValueCountFrequency (%)
PAT du Département de Seine-Saint-Denis 3575
99.2%
(Missing) 28
 
0.8%

Length

2025-02-17T17:12:28.791075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:28.869603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
pat 3575
20.0%
du 3575
20.0%
département 3575
20.0%
de 3575
20.0%
seine-saint-denis 3575
20.0%

Most occurring characters

ValueCountFrequency (%)
e 21450
15.4%
14300
10.3%
n 14300
10.3%
i 10725
 
7.7%
t 10725
 
7.7%
D 7150
 
5.1%
S 7150
 
5.1%
- 7150
 
5.1%
d 7150
 
5.1%
a 7150
 
5.1%
Other values (9) 32175
23.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 92950
66.7%
Uppercase Letter 25025
 
17.9%
Space Separator 14300
 
10.3%
Dash Punctuation 7150
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 21450
23.1%
n 14300
15.4%
i 10725
11.5%
t 10725
11.5%
d 7150
 
7.7%
a 7150
 
7.7%
é 3575
 
3.8%
u 3575
 
3.8%
r 3575
 
3.8%
p 3575
 
3.8%
Other values (2) 7150
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
D 7150
28.6%
S 7150
28.6%
P 3575
14.3%
T 3575
14.3%
A 3575
14.3%
Space Separator
ValueCountFrequency (%)
14300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 117975
84.6%
Common 21450
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 21450
18.2%
n 14300
12.1%
i 10725
9.1%
t 10725
9.1%
D 7150
 
6.1%
S 7150
 
6.1%
d 7150
 
6.1%
a 7150
 
6.1%
P 3575
 
3.0%
T 3575
 
3.0%
Other values (7) 25025
21.2%
Common
ValueCountFrequency (%)
14300
66.7%
- 7150
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135850
97.4%
None 3575
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 21450
15.8%
14300
10.5%
n 14300
10.5%
i 10725
 
7.9%
t 10725
 
7.9%
D 7150
 
5.3%
S 7150
 
5.3%
- 7150
 
5.3%
d 7150
 
5.3%
a 7150
 
5.3%
Other values (8) 28600
21.1%
None
ValueCountFrequency (%)
é 3575
100.0%

epci_name
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size404.8 KiB
Métropole du Grand Paris
3603 

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters86472
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMétropole du Grand Paris
2nd rowMétropole du Grand Paris
3rd rowMétropole du Grand Paris
4th rowMétropole du Grand Paris
5th rowMétropole du Grand Paris

Common Values

ValueCountFrequency (%)
Métropole du Grand Paris 3603
100.0%

Length

2025-02-17T17:12:28.947743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:29.010657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
métropole 3603
25.0%
du 3603
25.0%
grand 3603
25.0%
paris 3603
25.0%

Most occurring characters

ValueCountFrequency (%)
r 10809
12.5%
10809
12.5%
a 7206
 
8.3%
o 7206
 
8.3%
d 7206
 
8.3%
M 3603
 
4.2%
p 3603
 
4.2%
é 3603
 
4.2%
t 3603
 
4.2%
e 3603
 
4.2%
Other values (7) 25221
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 64854
75.0%
Space Separator 10809
 
12.5%
Uppercase Letter 10809
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 10809
16.7%
a 7206
11.1%
o 7206
11.1%
d 7206
11.1%
p 3603
 
5.6%
é 3603
 
5.6%
t 3603
 
5.6%
e 3603
 
5.6%
l 3603
 
5.6%
u 3603
 
5.6%
Other values (3) 10809
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 3603
33.3%
G 3603
33.3%
P 3603
33.3%
Space Separator
ValueCountFrequency (%)
10809
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75663
87.5%
Common 10809
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 10809
14.3%
a 7206
 
9.5%
o 7206
 
9.5%
d 7206
 
9.5%
M 3603
 
4.8%
p 3603
 
4.8%
é 3603
 
4.8%
t 3603
 
4.8%
e 3603
 
4.8%
l 3603
 
4.8%
Other values (6) 21618
28.6%
Common
ValueCountFrequency (%)
10809
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82869
95.8%
None 3603
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 10809
13.0%
10809
13.0%
a 7206
 
8.7%
o 7206
 
8.7%
d 7206
 
8.7%
M 3603
 
4.3%
p 3603
 
4.3%
t 3603
 
4.3%
e 3603
 
4.3%
l 3603
 
4.3%
Other values (6) 21618
26.1%
None
ValueCountFrequency (%)
é 3603
100.0%

longitude
Real number (ℝ)

High correlation 

Distinct975
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4349913
Minimum2.2938931
Maximum2.5816716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2025-02-17T17:12:29.089162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.2938931
5-th percentile2.3330606
Q12.3811249
median2.4289915
Q32.482775
95-th percentile2.5548137
Maximum2.5816716
Range0.2877785
Interquartile range (IQR)0.1016501

Descriptive statistics

Standard deviation0.069911857
Coefficient of variation (CV)0.028711338
Kurtosis-0.85225774
Mean2.4349913
Median Absolute Deviation (MAD)0.0521057
Skewness0.24262426
Sum8773.2735
Variance0.0048876678
MonotonicityNot monotonic
2025-02-17T17:12:29.197568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4792456 25
 
0.7%
2.3729989 24
 
0.7%
2.3832016 23
 
0.6%
2.4202109 19
 
0.5%
2.3530776 19
 
0.5%
2.435722 18
 
0.5%
2.4178476 18
 
0.5%
2.44201 18
 
0.5%
2.3320365 17
 
0.5%
2.3842756 17
 
0.5%
Other values (965) 3405
94.5%
ValueCountFrequency (%)
2.2938931 1
 
< 0.1%
2.294925 3
0.1%
2.295196 7
0.2%
2.2981276 1
 
< 0.1%
2.2985212 1
 
< 0.1%
2.298544 1
 
< 0.1%
2.3003549 3
0.1%
2.3007506 1
 
< 0.1%
2.3009417 1
 
< 0.1%
2.3023428 3
0.1%
ValueCountFrequency (%)
2.5816716 1
 
< 0.1%
2.581449 6
0.2%
2.5792085 1
 
< 0.1%
2.578255 4
0.1%
2.5781769 3
0.1%
2.577763 1
 
< 0.1%
2.5776011 1
 
< 0.1%
2.5774899 1
 
< 0.1%
2.5773627 1
 
< 0.1%
2.5772154 3
0.1%

latitude
Real number (ℝ)

High correlation 

Distinct968
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.910298
Minimum48.825403
Maximum48.973021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2025-02-17T17:12:29.291359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum48.825403
5-th percentile48.856935
Q148.885606
median48.912789
Q348.936306
95-th percentile48.957112
Maximum48.973021
Range0.1476176
Interquartile range (IQR)0.0507002

Descriptive statistics

Standard deviation0.032307624
Coefficient of variation (CV)0.0006605485
Kurtosis-0.8742237
Mean48.910298
Median Absolute Deviation (MAD)0.023827
Skewness-0.25455165
Sum176223.8
Variance0.0010437826
MonotonicityNot monotonic
2025-02-17T17:12:29.401152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.9151396 25
 
0.7%
48.9359285 24
 
0.7%
48.913965 23
 
0.6%
48.8558505 22
 
0.6%
48.9549874 19
 
0.5%
48.9382126 19
 
0.5%
48.8608737 18
 
0.5%
48.8671371 18
 
0.5%
48.9104798 18
 
0.5%
48.9072971 17
 
0.5%
Other values (958) 3400
94.4%
ValueCountFrequency (%)
48.8254034 1
 
< 0.1%
48.8343387 3
0.1%
48.837099 7
0.2%
48.837478 2
 
0.1%
48.837597 3
0.1%
48.8377891 3
0.1%
48.837999 2
 
0.1%
48.8389403 1
 
< 0.1%
48.8389554 5
0.1%
48.8391287 1
 
< 0.1%
ValueCountFrequency (%)
48.973021 1
 
< 0.1%
48.971191 1
 
< 0.1%
48.968683 1
 
< 0.1%
48.968328 1
 
< 0.1%
48.9680576 3
0.1%
48.967903 1
 
< 0.1%
48.9672948 5
0.1%
48.966395 1
 
< 0.1%
48.966169 1
 
< 0.1%
48.9661414 3
0.1%

publics_welcomed
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size247.5 KiB
Inconditionnel
2498 
Inconditionnel adapté
634 
Exclusif
471 

Length

Max length21
Median length14
Mean length14.447405
Min length8

Characters and Unicode

Total characters52054
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowInconditionnel
2nd rowInconditionnel
3rd rowInconditionnel
4th rowInconditionnel
5th rowInconditionnel

Common Values

ValueCountFrequency (%)
Inconditionnel 2498
69.3%
Inconditionnel adapté 634
 
17.6%
Exclusif 471
 
13.1%

Length

2025-02-17T17:12:29.495316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:29.573847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
inconditionnel 3132
73.9%
adapté 634
 
15.0%
exclusif 471
 
11.1%

Most occurring characters

ValueCountFrequency (%)
n 12528
24.1%
i 6735
12.9%
o 6264
12.0%
d 3766
 
7.2%
t 3766
 
7.2%
c 3603
 
6.9%
l 3603
 
6.9%
I 3132
 
6.0%
e 3132
 
6.0%
a 1268
 
2.4%
Other values (8) 4257
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 47817
91.9%
Uppercase Letter 3603
 
6.9%
Space Separator 634
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 12528
26.2%
i 6735
14.1%
o 6264
13.1%
d 3766
 
7.9%
t 3766
 
7.9%
c 3603
 
7.5%
l 3603
 
7.5%
e 3132
 
6.5%
a 1268
 
2.7%
p 634
 
1.3%
Other values (5) 2518
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
I 3132
86.9%
E 471
 
13.1%
Space Separator
ValueCountFrequency (%)
634
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 51420
98.8%
Common 634
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 12528
24.4%
i 6735
13.1%
o 6264
12.2%
d 3766
 
7.3%
t 3766
 
7.3%
c 3603
 
7.0%
l 3603
 
7.0%
I 3132
 
6.1%
e 3132
 
6.1%
a 1268
 
2.5%
Other values (7) 3623
 
7.0%
Common
ValueCountFrequency (%)
634
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51420
98.8%
None 634
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 12528
24.4%
i 6735
13.1%
o 6264
12.2%
d 3766
 
7.3%
t 3766
 
7.3%
c 3603
 
7.0%
l 3603
 
7.0%
I 3132
 
6.1%
e 3132
 
6.1%
a 1268
 
2.5%
Other values (7) 3623
 
7.0%
None
ValueCountFrequency (%)
é 634
100.0%

prm
Categorical

High correlation 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size187.0 KiB
Oui
2857 
Non
649 
Non renseigné
 
97

Length

Max length13
Median length3
Mean length3.2692201
Min length3

Characters and Unicode

Total characters11779
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowNon
3rd rowOui
4th rowNon
5th rowOui

Common Values

ValueCountFrequency (%)
Oui 2857
79.3%
Non 649
 
18.0%
Non renseigné 97
 
2.7%

Length

2025-02-17T17:12:29.670435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:29.735737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
oui 2857
77.2%
non 746
 
20.2%
renseigné 97
 
2.6%

Most occurring characters

ValueCountFrequency (%)
i 2954
25.1%
O 2857
24.3%
u 2857
24.3%
n 940
 
8.0%
N 746
 
6.3%
o 746
 
6.3%
e 194
 
1.6%
97
 
0.8%
r 97
 
0.8%
s 97
 
0.8%
Other values (2) 194
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8079
68.6%
Uppercase Letter 3603
30.6%
Space Separator 97
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2954
36.6%
u 2857
35.4%
n 940
 
11.6%
o 746
 
9.2%
e 194
 
2.4%
r 97
 
1.2%
s 97
 
1.2%
g 97
 
1.2%
é 97
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
O 2857
79.3%
N 746
 
20.7%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11682
99.2%
Common 97
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2954
25.3%
O 2857
24.5%
u 2857
24.5%
n 940
 
8.0%
N 746
 
6.4%
o 746
 
6.4%
e 194
 
1.7%
r 97
 
0.8%
s 97
 
0.8%
g 97
 
0.8%
Common
ValueCountFrequency (%)
97
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11682
99.2%
None 97
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2954
25.3%
O 2857
24.5%
u 2857
24.5%
n 940
 
8.0%
N 746
 
6.4%
o 746
 
6.4%
e 194
 
1.7%
97
 
0.8%
r 97
 
0.8%
s 97
 
0.8%
None
ValueCountFrequency (%)
é 97
100.0%

not_free
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size186.7 KiB
Non
3275 
Oui
 
239
Non renseigné
 
89

Length

Max length13
Median length3
Mean length3.2470164
Min length3

Characters and Unicode

Total characters11699
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowNon
3rd rowNon
4th rowNon
5th rowNon

Common Values

ValueCountFrequency (%)
Non 3275
90.9%
Oui 239
 
6.6%
Non renseigné 89
 
2.5%

Length

2025-02-17T17:12:29.814275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:29.892429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
non 3364
91.1%
oui 239
 
6.5%
renseigné 89
 
2.4%

Most occurring characters

ValueCountFrequency (%)
n 3542
30.3%
N 3364
28.8%
o 3364
28.8%
i 328
 
2.8%
O 239
 
2.0%
u 239
 
2.0%
e 178
 
1.5%
89
 
0.8%
r 89
 
0.8%
s 89
 
0.8%
Other values (2) 178
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8007
68.4%
Uppercase Letter 3603
30.8%
Space Separator 89
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3542
44.2%
o 3364
42.0%
i 328
 
4.1%
u 239
 
3.0%
e 178
 
2.2%
r 89
 
1.1%
s 89
 
1.1%
g 89
 
1.1%
é 89
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 3364
93.4%
O 239
 
6.6%
Space Separator
ValueCountFrequency (%)
89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11610
99.2%
Common 89
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3542
30.5%
N 3364
29.0%
o 3364
29.0%
i 328
 
2.8%
O 239
 
2.1%
u 239
 
2.1%
e 178
 
1.5%
r 89
 
0.8%
s 89
 
0.8%
g 89
 
0.8%
Common
ValueCountFrequency (%)
89
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11610
99.2%
None 89
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 3542
30.5%
N 3364
29.0%
o 3364
29.0%
i 328
 
2.8%
O 239
 
2.1%
u 239
 
2.1%
e 178
 
1.5%
89
 
0.8%
r 89
 
0.8%
s 89
 
0.8%
None
ValueCountFrequency (%)
é 89
100.0%

on_appointment
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
Non
2609 
Oui
994 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10809
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowNon
3rd rowNon
4th rowNon
5th rowOui

Common Values

ValueCountFrequency (%)
Non 2609
72.4%
Oui 994
 
27.6%

Length

2025-02-17T17:12:29.970958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:30.049128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
non 2609
72.4%
oui 994
 
27.6%

Most occurring characters

ValueCountFrequency (%)
N 2609
24.1%
o 2609
24.1%
n 2609
24.1%
O 994
 
9.2%
u 994
 
9.2%
i 994
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7206
66.7%
Uppercase Letter 3603
33.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2609
36.2%
n 2609
36.2%
u 994
 
13.8%
i 994
 
13.8%
Uppercase Letter
ValueCountFrequency (%)
N 2609
72.4%
O 994
 
27.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 10809
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 2609
24.1%
o 2609
24.1%
n 2609
24.1%
O 994
 
9.2%
u 994
 
9.2%
i 994
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 2609
24.1%
o 2609
24.1%
n 2609
24.1%
O 994
 
9.2%
u 994
 
9.2%
i 994
 
9.2%

on_orientation
Categorical

Imbalance 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
Non
3369 
Oui
 
234

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10809
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowNon
3rd rowNon
4th rowNon
5th rowNon

Common Values

ValueCountFrequency (%)
Non 3369
93.5%
Oui 234
 
6.5%

Length

2025-02-17T17:12:30.127668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:30.195797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
non 3369
93.5%
oui 234
 
6.5%

Most occurring characters

ValueCountFrequency (%)
N 3369
31.2%
o 3369
31.2%
n 3369
31.2%
O 234
 
2.2%
u 234
 
2.2%
i 234
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7206
66.7%
Uppercase Letter 3603
33.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3369
46.8%
n 3369
46.8%
u 234
 
3.2%
i 234
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
N 3369
93.5%
O 234
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 10809
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 3369
31.2%
o 3369
31.2%
n 3369
31.2%
O 234
 
2.2%
u 234
 
2.2%
i 234
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 3369
31.2%
o 3369
31.2%
n 3369
31.2%
O 234
 
2.2%
u 234
 
2.2%
i 234
 
2.2%

on_registration
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
Non
3061 
Oui
542 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10809
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowOui
3rd rowOui
4th rowNon
5th rowOui

Common Values

ValueCountFrequency (%)
Non 3061
85.0%
Oui 542
 
15.0%

Length

2025-02-17T17:12:30.277790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:30.355930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
non 3061
85.0%
oui 542
 
15.0%

Most occurring characters

ValueCountFrequency (%)
N 3061
28.3%
o 3061
28.3%
n 3061
28.3%
O 542
 
5.0%
u 542
 
5.0%
i 542
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7206
66.7%
Uppercase Letter 3603
33.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3061
42.5%
n 3061
42.5%
u 542
 
7.5%
i 542
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
N 3061
85.0%
O 542
 
15.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10809
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 3061
28.3%
o 3061
28.3%
n 3061
28.3%
O 542
 
5.0%
u 542
 
5.0%
i 542
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 3061
28.3%
o 3061
28.3%
n 3061
28.3%
O 542
 
5.0%
u 542
 
5.0%
i 542
 
5.0%

on_restricted_access
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
Non
2076 
Oui
1527 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10809
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNon
2nd rowOui
3rd rowOui
4th rowNon
5th rowOui

Common Values

ValueCountFrequency (%)
Non 2076
57.6%
Oui 1527
42.4%

Length

2025-02-17T17:12:30.418860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-17T17:12:30.497400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
non 2076
57.6%
oui 1527
42.4%

Most occurring characters

ValueCountFrequency (%)
N 2076
19.2%
o 2076
19.2%
n 2076
19.2%
O 1527
14.1%
u 1527
14.1%
i 1527
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7206
66.7%
Uppercase Letter 3603
33.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2076
28.8%
n 2076
28.8%
u 1527
21.2%
i 1527
21.2%
Uppercase Letter
ValueCountFrequency (%)
N 2076
57.6%
O 1527
42.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 10809
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 2076
19.2%
o 2076
19.2%
n 2076
19.2%
O 1527
14.1%
u 1527
14.1%
i 1527
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 2076
19.2%
o 2076
19.2%
n 2076
19.2%
O 1527
14.1%
u 1527
14.1%
i 1527
14.1%

place_description
Text

Missing 

Distinct784
Distinct (%)23.2%
Missing222
Missing (%)6.2%
Memory size5.4 MiB
2025-02-17T17:12:30.672639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3523
Median length1193
Mean length778.08548
Min length21

Characters and Unicode

Total characters2630707
Distinct characters127
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)4.9%

Sample

1st row<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>
2nd row<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>
3rd row<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>
4th row<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>
5th row<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>
ValueCountFrequency (%)
de 20673
 
6.5%
et 13057
 
4.1%
les 8955
 
2.8%
des 7893
 
2.5%
la 6290
 
2.0%
un 4780
 
1.5%
en 4298
 
1.4%
à 3879
 
1.2%
pour 3790
 
1.2%
le 3137
 
1.0%
Other values (7631) 240214
75.8%
2025-02-17T17:12:30.988643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314170
 
11.9%
e 261995
 
10.0%
s 170353
 
6.5%
n 155033
 
5.9%
i 146079
 
5.6%
t 141642
 
5.4%
a 133692
 
5.1%
o 121486
 
4.6%
r 120194
 
4.6%
l 96341
 
3.7%
Other values (117) 969722
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1881597
71.5%
Space Separator 314170
 
11.9%
Other Punctuation 167081
 
6.4%
Decimal Number 92342
 
3.5%
Math Symbol 88390
 
3.4%
Uppercase Letter 62418
 
2.4%
Dash Punctuation 10233
 
0.4%
Final Punctuation 5297
 
0.2%
Open Punctuation 4047
 
0.2%
Close Punctuation 4023
 
0.2%
Other values (7) 1109
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 261995
13.9%
s 170353
 
9.1%
n 155033
 
8.2%
i 146079
 
7.8%
t 141642
 
7.5%
a 133692
 
7.1%
o 121486
 
6.5%
r 120194
 
6.4%
l 96341
 
5.1%
u 89903
 
4.8%
Other values (32) 444879
23.6%
Uppercase Letter
ValueCountFrequency (%)
S 8250
13.2%
L 8143
13.0%
C 7386
11.8%
A 6265
10.0%
P 6159
9.9%
M 4699
7.5%
D 3631
 
5.8%
I 3556
 
5.7%
R 2201
 
3.5%
E 2081
 
3.3%
Other values (20) 10047
16.1%
Other Punctuation
ValueCountFrequency (%)
; 32265
19.3%
& 31596
18.9%
# 25601
15.3%
/ 25360
15.2%
, 18705
11.2%
. 15597
9.3%
' 8138
 
4.9%
" 5064
 
3.0%
: 3448
 
2.1%
500
 
0.3%
Other values (8) 807
 
0.5%
Decimal Number
ValueCountFrequency (%)
3 31746
34.4%
2 29837
32.3%
1 8167
 
8.8%
4 5235
 
5.7%
8 4183
 
4.5%
0 4134
 
4.5%
7 3661
 
4.0%
6 3278
 
3.5%
9 1236
 
1.3%
5 865
 
0.9%
Other Symbol
ValueCountFrequency (%)
© 8
32.0%
7
28.0%
6
24.0%
° 4
16.0%
Math Symbol
ValueCountFrequency (%)
> 42905
48.5%
< 42883
48.5%
= 2602
 
2.9%
Final Punctuation
ValueCountFrequency (%)
5178
97.8%
» 75
 
1.4%
44
 
0.8%
Initial Punctuation
ValueCountFrequency (%)
« 77
62.1%
44
35.5%
3
 
2.4%
Nonspacing Mark
ValueCountFrequency (%)
́ 15
55.6%
6
 
22.2%
̀ 6
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 10220
99.9%
13
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4041
99.9%
[ 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4017
99.9%
] 6
 
0.1%
Space Separator
ValueCountFrequency (%)
314170
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 852
100.0%
Currency Symbol
ValueCountFrequency (%)
73
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 4
100.0%
Format
ValueCountFrequency (%)
­ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1944015
73.9%
Common 686665
 
26.1%
Inherited 27
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 261995
13.5%
s 170353
 
8.8%
n 155033
 
8.0%
i 146079
 
7.5%
t 141642
 
7.3%
a 133692
 
6.9%
o 121486
 
6.2%
r 120194
 
6.2%
l 96341
 
5.0%
u 89903
 
4.6%
Other values (62) 507297
26.1%
Common
ValueCountFrequency (%)
314170
45.8%
> 42905
 
6.2%
< 42883
 
6.2%
; 32265
 
4.7%
3 31746
 
4.6%
& 31596
 
4.6%
2 29837
 
4.3%
# 25601
 
3.7%
/ 25360
 
3.7%
, 18705
 
2.7%
Other values (42) 91597
 
13.3%
Inherited
ValueCountFrequency (%)
́ 15
55.6%
6
 
22.2%
̀ 6
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2589836
98.4%
None 34944
 
1.3%
Punctuation 5799
 
0.2%
Currency Symbols 73
 
< 0.1%
Diacriticals 21
 
< 0.1%
Alphabetic PF 15
 
< 0.1%
Geometric Shapes 7
 
< 0.1%
VS 6
 
< 0.1%
Misc Symbols 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314170
 
12.1%
e 261995
 
10.1%
s 170353
 
6.6%
n 155033
 
6.0%
i 146079
 
5.6%
t 141642
 
5.5%
a 133692
 
5.2%
o 121486
 
4.7%
r 120194
 
4.6%
l 96341
 
3.7%
Other values (77) 928851
35.9%
None
ValueCountFrequency (%)
é 24039
68.8%
à 4199
 
12.0%
è 3625
 
10.4%
ê 986
 
2.8%
â 405
 
1.2%
· 396
 
1.1%
ç 373
 
1.1%
ù 206
 
0.6%
ô 203
 
0.6%
É 159
 
0.5%
Other values (15) 353
 
1.0%
Punctuation
ValueCountFrequency (%)
5178
89.3%
500
 
8.6%
44
 
0.8%
44
 
0.8%
17
 
0.3%
13
 
0.2%
3
 
0.1%
Currency Symbols
ValueCountFrequency (%)
73
100.0%
Diacriticals
ValueCountFrequency (%)
́ 15
71.4%
̀ 6
 
28.6%
Alphabetic PF
ValueCountFrequency (%)
11
73.3%
4
 
26.7%
Geometric Shapes
ValueCountFrequency (%)
7
100.0%
VS
ValueCountFrequency (%)
6
100.0%
Misc Symbols
ValueCountFrequency (%)
6
100.0%

service_description
Text

Missing 

Distinct1431
Distinct (%)68.0%
Missing1499
Missing (%)41.6%
Memory size657.5 KiB
2025-02-17T17:12:31.183712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2989
Median length656
Mean length175.64116
Min length8

Characters and Unicode

Total characters369549
Distinct characters108
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1285 ?
Unique (%)61.1%

Sample

1st rowL'Accueil de jour, re&#231;oit de fa&#231;on inconditionnelle pendant la journ&#233;e des personnes (hommes et femmes) sans domicile vivant &#224; Pantin (93), dans des communes voisines et &#224; Paris.&#10;Un accueil sp&#233;cifique r&#233;serv&#233; aux femmes a lieu le mardi apr&#232;s midi &#224; l&#8217;accueil de jour
2nd rowSur inscription
3rd rowUn vestiaire pour hommes, femmes et enfants est propos&#233; &#224; l&#8217;accueil de jour le vendredi de 14h30 &#224; 16h30 sur inscription au pr&#233;alable.
4th rowAccompagnement personnalisé et actions éducatives et Orientation et accompagnement vers le droit commun et la protection de l’enfance
5th rowart-thérapie et soutien psychologique
ValueCountFrequency (%)
de 2416
 
5.5%
et 1536
 
3.5%
les 1051
 
2.4%
des 980
 
2.2%
la 886
 
2.0%
224 841
 
1.9%
du 743
 
1.7%
en 644
 
1.5%
pour 615
 
1.4%
541
 
1.2%
Other values (6263) 33848
76.8%
2025-02-17T17:12:31.491841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41997
 
11.4%
e 34055
 
9.2%
s 22791
 
6.2%
i 21899
 
5.9%
n 19102
 
5.2%
t 18503
 
5.0%
a 18084
 
4.9%
r 17586
 
4.8%
o 15839
 
4.3%
u 12997
 
3.5%
Other values (98) 146696
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 250316
67.7%
Space Separator 41998
 
11.4%
Other Punctuation 31792
 
8.6%
Decimal Number 24119
 
6.5%
Math Symbol 9932
 
2.7%
Uppercase Letter 8790
 
2.4%
Dash Punctuation 781
 
0.2%
Open Punctuation 650
 
0.2%
Close Punctuation 643
 
0.2%
Final Punctuation 332
 
0.1%
Other values (5) 196
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34055
13.6%
s 22791
 
9.1%
i 21899
 
8.7%
n 19102
 
7.6%
t 18503
 
7.4%
a 18084
 
7.2%
r 17586
 
7.0%
o 15839
 
6.3%
u 12997
 
5.2%
l 12401
 
5.0%
Other values (25) 57059
22.8%
Uppercase Letter
ValueCountFrequency (%)
A 1175
13.4%
C 901
10.3%
D 844
9.6%
S 783
8.9%
L 743
 
8.5%
P 730
 
8.3%
I 558
 
6.3%
E 418
 
4.8%
R 395
 
4.5%
F 383
 
4.4%
Other values (19) 1860
21.2%
Other Punctuation
ValueCountFrequency (%)
; 7223
22.7%
& 7197
22.6%
# 7087
22.3%
/ 2827
 
8.9%
, 2751
 
8.7%
. 2728
 
8.6%
' 1014
 
3.2%
: 661
 
2.1%
" 204
 
0.6%
36
 
0.1%
Other values (4) 64
 
0.2%
Decimal Number
ValueCountFrequency (%)
3 8959
37.1%
2 7965
33.0%
1 2073
 
8.6%
4 1263
 
5.2%
0 1146
 
4.8%
8 999
 
4.1%
7 771
 
3.2%
6 614
 
2.5%
9 202
 
0.8%
5 127
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 4905
49.4%
< 4904
49.4%
= 111
 
1.1%
+ 12
 
0.1%
Final Punctuation
ValueCountFrequency (%)
330
99.4%
» 1
 
0.3%
1
 
0.3%
Space Separator
ValueCountFrequency (%)
41997
> 99.9%
1
 
< 0.1%
Control
ValueCountFrequency (%)
75
50.0%
75
50.0%
Other Symbol
ValueCountFrequency (%)
💡 2
50.0%
😉 2
50.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
50.0%
1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 781
100.0%
Open Punctuation
ValueCountFrequency (%)
( 650
100.0%
Close Punctuation
ValueCountFrequency (%)
) 643
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 35
100.0%
Currency Symbol
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 259106
70.1%
Common 110443
29.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34055
13.1%
s 22791
 
8.8%
i 21899
 
8.5%
n 19102
 
7.4%
t 18503
 
7.1%
a 18084
 
7.0%
r 17586
 
6.8%
o 15839
 
6.1%
u 12997
 
5.0%
l 12401
 
4.8%
Other values (54) 65849
25.4%
Common
ValueCountFrequency (%)
41997
38.0%
3 8959
 
8.1%
2 7965
 
7.2%
; 7223
 
6.5%
& 7197
 
6.5%
# 7087
 
6.4%
> 4905
 
4.4%
< 4904
 
4.4%
/ 2827
 
2.6%
, 2751
 
2.5%
Other values (34) 14628
 
13.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367081
99.3%
None 2092
 
0.6%
Punctuation 369
 
0.1%
Currency Symbols 5
 
< 0.1%
Emoticons 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41997
 
11.4%
e 34055
 
9.3%
s 22791
 
6.2%
i 21899
 
6.0%
n 19102
 
5.2%
t 18503
 
5.0%
a 18084
 
4.9%
r 17586
 
4.8%
o 15839
 
4.3%
u 12997
 
3.5%
Other values (76) 144228
39.3%
None
ValueCountFrequency (%)
é 1422
68.0%
à 300
 
14.3%
è 229
 
10.9%
ô 31
 
1.5%
ê 30
 
1.4%
ç 29
 
1.4%
â 27
 
1.3%
É 9
 
0.4%
î 8
 
0.4%
💡 2
 
0.1%
Other values (5) 5
 
0.2%
Punctuation
ValueCountFrequency (%)
330
89.4%
36
 
9.8%
1
 
0.3%
1
 
0.3%
1
 
0.3%
Currency Symbols
ValueCountFrequency (%)
5
100.0%
Emoticons
ValueCountFrequency (%)
😉 2
100.0%

Interactions

2025-02-17T17:12:23.152671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:22.667990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:22.909445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:23.227209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:22.751963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:22.984147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:23.390906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:22.822704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-17T17:12:23.062783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-02-17T17:12:31.570354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
category_namecitylatitudelongitudenetwork_namenot_freeon_appointmenton_orientationon_registrationon_restricted_accessplace_typepostal_codeprmpublics_welcomedsocial_urgencysource_info
category_name1.0000.0680.0450.0480.3120.2190.2880.2870.3760.2310.2260.0420.1610.3090.8760.398
city0.0681.0000.7210.8250.1510.1670.1990.2090.1690.1660.0560.9930.1920.1930.0860.175
latitude0.0450.7211.000-0.3340.0660.0950.1000.1240.0760.0550.0000.4430.1050.1110.0780.099
longitude0.0480.825-0.3341.0000.0760.0930.0980.1270.1160.0940.000-0.2130.0860.0930.0490.106
network_name0.3120.1510.0660.0761.0000.0750.1420.1090.1780.0940.3460.0490.1180.1180.3580.717
not_free0.2190.1670.0950.0930.0751.0000.1200.0360.2430.1170.0150.0740.5780.0890.0900.079
on_appointment0.2880.1990.1000.0980.1420.1201.0000.1020.0480.7190.0480.0710.1530.1480.1440.196
on_orientation0.2870.2090.1240.1270.1090.0360.1021.0000.0400.3060.0030.1140.0000.1250.0840.463
on_registration0.3760.1690.0760.1160.1780.2430.0480.0401.0000.4900.0280.0600.0880.1390.1560.202
on_restricted_access0.2310.1660.0550.0940.0940.1170.7190.3060.4901.0000.0710.1050.1010.2060.0040.133
place_type0.2260.0560.0000.0000.3460.0150.0480.0030.0280.0711.0000.0150.0390.0540.1990.000
postal_code0.0420.9930.443-0.2130.0490.0740.0710.1140.0600.1050.0151.0000.0850.1070.0530.082
prm0.1610.1920.1050.0860.1180.5780.1530.0000.0880.1010.0390.0851.0000.0980.0640.124
publics_welcomed0.3090.1930.1110.0930.1180.0890.1480.1250.1390.2060.0540.1070.0981.0000.0990.096
social_urgency0.8760.0860.0780.0490.3580.0900.1440.0840.1560.0040.1990.0530.0640.0991.0000.236
source_info0.3980.1750.0990.1060.7170.0790.1960.4630.2020.1330.0000.0820.1240.0960.2361.000

Missing values

2025-02-17T17:12:23.522965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-17T17:12:23.844586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-02-17T17:12:24.053880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

service_idplace_idplace_nameplace_statusfull_urlplace_created_atplace_updated_atorganization_idorganization_namenetwork_namesource_infoservice_namecategory_namesocial_urgencyplace_typecitypostal_codedepartment_codezone_patepci_namelongitudelatitudepublics_welcomedprmnot_freeon_appointmenton_orientationon_registrationon_restricted_accessplace_descriptionservice_description
06181a6d58ac6b179ffb9fe305a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideAccueil de jourAccueilVRAILIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelNonNonNonNonNonNon<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>L'Accueil de jour, re&#231;oit de fa&#231;on inconditionnelle pendant la journ&#233;e des personnes (hommes et femmes) sans domicile vivant &#224; Pantin (93), dans des communes voisines et &#224; Paris.&#10;Un accueil sp&#233;cifique r&#233;serv&#233; aux femmes a lieu le mardi apr&#232;s midi &#224; l&#8217;accueil de jour
16181a6d58ac6b179ffb9fe335a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideLaverieHygièneVRAILIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelNonNonNonNonOuiOui<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>NaN
26181a6d58ac6b179ffb9fe345a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideDoucheHygièneVRAILIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelOuiNonNonNonOuiOui<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>Sur inscription
36181a6d58ac6b179ffb9fe355a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideAccompagnement socialConseilFAUXLIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelNonNonNonNonNonNon<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>NaN
46181a6d58ac6b179ffb9fe385a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideBagagerieMatérielVRAILIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelOuiNonOuiNonOuiOui<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>NaN
56181a6d58ac6b179ffb9fe3a5a58c0c7c1797fe45e3772bcLe Refuge de PantinEn lignehttps://soliguide.fr/fr/fiche/le-refuge-de-pantin-502018-01-12 14:05:59.0002024-12-12 13:52:51.1045fb647db3cb90874d9ab1bbeLe Refuge de PantinAutreSoliguideVêtementsMatérielVRAILIEUPantin9350093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.41920048.894089InconditionnelNonNonNonNonNonNon<p>Le Refuge a pour mission d'accueillir, d'héberger, d'accompagner en contribuant au renforcement, pour chacun, de la confiance en soi et de l’aptitude à côtoyer les autres dans la capacité d’agir et de vivre des moments d’apaisement.&nbsp;</p><p>Le Refuge dispose d'un accueil de jour, d'une pension de famille et et d'un centre d'hébergement d'urgence. <strong>L'accueil de jour est ouvert uniquement aux femmes le mardi après-midi.</strong></p>Un vestiaire pour hommes, femmes et enfants est propos&#233; &#224; l&#8217;accueil de jour le vendredi de 14h30 &#224; 16h30 sur inscription au pr&#233;alable.
66181a6d68ac6b179ffb9fe595a58c0c7c1797fe45e3772cfHors la rue - centre d'appui aux maraudesEn lignehttps://soliguide.fr/fr/fiche/hors-la-rue-montreuil-692018-01-12 14:05:59.0002024-12-09 11:29:34.8555fb647dd3cb90874d9ab1bbfHors la rueAutreSoliguideAccompagnement socialConseilFAUXLIEUMontreuil9310093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.42929148.855851ExclusifOuiNonNonOuiNonOui<p>Créé en 2004, Hors la rue est une association qui a pour objectif de repérer et d'accompagner les enfants et adolescents étrangers en danger et de faire respecter leurs droits. Elle propose:</p><p>- Des maraudes auprès de mineurs en situation de rue et d’errance</p><p>- Un accompagnement personnalisé et des actions éducatives</p><p>- Une orientation et un accompagnement vers le droit commun et la protection de l’enfance</p><p>- Un accueil sur rendez-vous avec l’équipe éducative au centre de jour d’appui aux maraudes situé à Montreuil</p><p>- De l'art-thérapie et un soutien psychologique</p><p>&nbsp;</p>Accompagnement personnalisé et actions éducatives et Orientation et accompagnement vers le droit commun et la protection de l’enfance
76181a6d68ac6b179ffb9fe5a5a58c0c7c1797fe45e3772cfHors la rue - centre d'appui aux maraudesEn lignehttps://soliguide.fr/fr/fiche/hors-la-rue-montreuil-692018-01-12 14:05:59.0002024-12-09 11:29:34.8555fb647dd3cb90874d9ab1bbfHors la rueAutreSoliguidePsychologieSantéFAUXLIEUMontreuil9310093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.42929148.855851ExclusifOuiNonNonOuiNonOui<p>Créé en 2004, Hors la rue est une association qui a pour objectif de repérer et d'accompagner les enfants et adolescents étrangers en danger et de faire respecter leurs droits. Elle propose:</p><p>- Des maraudes auprès de mineurs en situation de rue et d’errance</p><p>- Un accompagnement personnalisé et des actions éducatives</p><p>- Une orientation et un accompagnement vers le droit commun et la protection de l’enfance</p><p>- Un accueil sur rendez-vous avec l’équipe éducative au centre de jour d’appui aux maraudes situé à Montreuil</p><p>- De l'art-thérapie et un soutien psychologique</p><p>&nbsp;</p>art-thérapie et soutien psychologique
86181a6da8ac6b179ffb9fee85a58c0c7c1797fe45e377312CAARUD PROSES Saint-DenisEn lignehttps://soliguide.fr/fr/fiche/caarud-proses-saint-denis-1362018-01-12 14:05:59.0002024-11-13 11:22:19.4365fb64ec53cb90874d9ab1d11PROSESAutreSoliguideAddictionSantéFAUXLIEUSaint-Denis9320093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.35307848.938213ExclusifOuiNonNonNonNonNon<p>Le CAARUD (Centre d&#8217;Accueil et d&#8217;Accompagnement &#224; la R&#233;duction des Risque pour les Usagers de Drogues) PROSES est un &#233;tablissement m&#233;dico-social <strong>destin&#233; &#224; accueillir des usagers de drogues</strong> dont le but initial est de fournir un acc&#232;s &#224; du mat&#233;riel de r&#233;duction des risques ainsi que des conseils personnalis&#233;s, le tout dans un cadre anonyme confidentiel, et inconditionnel.</p><p><strong>L'accueil est anonyme, gratuit, et dit &#8220;&#224; bas seuil d'exigence&#8221; : toutes les personnes adultes et consommatrices des drogues d&#232;s 18 ans &#160;peuvent venir quelque soit &#160;leur &#233;tat physique, psychologique, tenue vestimentaire, orientation sexuelle, origine ethnique, &#160;opinions politiques, appartenance religieuse etc.</strong></p>Accueil&#160;anonyme et inconditionnel et accompagnement des&#160;personnes qui&#160;pr&#233;sentent des consommations addictives. R&#233;duction des risques, distribution de mat&#233;riel.
96181a6da8ac6b179ffb9fee95a58c0c7c1797fe45e377312CAARUD PROSES Saint-DenisEn lignehttps://soliguide.fr/fr/fiche/caarud-proses-saint-denis-1362018-01-12 14:05:59.0002024-11-13 11:22:19.4365fb64ec53cb90874d9ab1d11PROSESAutreSoliguideAccueil de jourAccueilVRAILIEUSaint-Denis9320093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.35307848.938213ExclusifOuiNonNonNonNonNon<p>Le CAARUD (Centre d&#8217;Accueil et d&#8217;Accompagnement &#224; la R&#233;duction des Risque pour les Usagers de Drogues) PROSES est un &#233;tablissement m&#233;dico-social <strong>destin&#233; &#224; accueillir des usagers de drogues</strong> dont le but initial est de fournir un acc&#232;s &#224; du mat&#233;riel de r&#233;duction des risques ainsi que des conseils personnalis&#233;s, le tout dans un cadre anonyme confidentiel, et inconditionnel.</p><p><strong>L'accueil est anonyme, gratuit, et dit &#8220;&#224; bas seuil d'exigence&#8221; : toutes les personnes adultes et consommatrices des drogues d&#232;s 18 ans &#160;peuvent venir quelque soit &#160;leur &#233;tat physique, psychologique, tenue vestimentaire, orientation sexuelle, origine ethnique, &#160;opinions politiques, appartenance religieuse etc.</strong></p>NaN
service_idplace_idplace_nameplace_statusfull_urlplace_created_atplace_updated_atorganization_idorganization_namenetwork_namesource_infoservice_namecategory_namesocial_urgencyplace_typecitypostal_codedepartment_codezone_patepci_namelongitudelatitudepublics_welcomedprmnot_freeon_appointmenton_orientationon_registrationon_restricted_accessplace_descriptionservice_description
35936794855b880c18fed7cabb7b5e9712f9458b8b164ce73569Croix-Rouge française - Antenne Locale Aeroport le BourgetEn lignehttps://soliguide.fr/fr/fiche/epicerie-sociale-croix-rouge-drancy-86702020-04-15 13:58:17.3202025-02-09 04:31:16.7265fb64d833cb90874d9ab1cc1Croix Rouge Française - délégation de la Seine Saint DenisCroix-RougeCroix-Rouge françaiseMagasin solidaireMatérielFAUXLIEUDrancy9370093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.43583748.928393InconditionnelNonOuiNonNonNonNonNaNNaN
359467948571880c18fed7cac4605accbedc1bc8347458542464Croix-Rouge française - Antenne Locale Terre d'AvenirEn lignehttps://soliguide.fr/fr/fiche/la-croix-rouge-de-sevran-24012018-04-10 13:40:44.9872025-02-09 04:31:27.8285fb64d833cb90874d9ab1cc1Croix Rouge Française - délégation de la Seine Saint DenisCroix-RougeCroix-Rouge françaiseMagasin solidaireMatérielFAUXLIEUSevran9327093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.52558848.943190InconditionnelNonOuiNonNonNonNonNaNNaN
359567948571880c18fed7cac4605accbedc1bc8347458542464Croix-Rouge française - Antenne Locale Terre d'AvenirEn lignehttps://soliguide.fr/fr/fiche/la-croix-rouge-de-sevran-24012018-04-10 13:40:44.9872025-02-09 04:31:27.8286362ab8af06599f58c7e3975Croix-Rouge françaiseCroix-RougeCroix-Rouge françaiseMagasin solidaireMatérielFAUXLIEUSevran9327093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.52558848.943190InconditionnelNonOuiNonNonNonNonNaNNaN
359667948576880c18fed7cac65e5e79eb118c0d151e8b59c87bCroix-Rouge française - Antenne Locale Terre d'AvenirEn lignehttps://soliguide.fr/fr/fiche/croix-rouge-sevran-siege-80852020-03-24 11:12:17.3262025-02-09 04:31:30.2475fb64d833cb90874d9ab1cc1Croix Rouge Française - délégation de la Seine Saint DenisCroix-RougeCroix-Rouge françaiseMagasin solidaireMatérielFAUXLIEUSevran9327093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.53082248.947190InconditionnelNonOuiNonNonNonNonNaNNaN
359767948576880c18fed7cac65e5e79eb118c0d151e8b59c87bCroix-Rouge française - Antenne Locale Terre d'AvenirEn lignehttps://soliguide.fr/fr/fiche/croix-rouge-sevran-siege-80852020-03-24 11:12:17.3262025-02-09 04:31:30.2476362ab8af06599f58c7e3975Croix-Rouge françaiseCroix-RougeCroix-Rouge françaiseMagasin solidaireMatérielFAUXLIEUSevran9327093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.53082248.947190InconditionnelNonOuiNonNonNonNonNaNNaN
35986799fc0876f3bec2d7ce4855664ca304b948c44d1a6d7507Centre Ressources Jane Vialle - (CRJV)En lignehttps://soliguide.fr/fr/fiche/centre-ressources-meres-enfants-crjv-444932024-05-21 13:35:00.0902025-01-29 09:59:37.6726470c0746333fe1acd26c97fAD PEPAutreSoliguideConseil administratifConseilFAUXLIEUBobigny9300093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.44067248.913508Inconditionnel adaptéNonNonNonNonNonNon<p>Espace d'accueil &nbsp;individualisé et collectif, d'évaluation, d'orientation pour les jeunes femmes enceintes ou mères de moins de 22 ans.&nbsp;</p><p>Situé dans une maison à Bobigny, nous accueillons les jeunes femmes et leurs bébés les mardi, mercredi et jeudi lors d'ateliers collectifs autour du soutien à la parentalité, de la prévention, de la santé, du développement de l'enfant, etc..</p><p>Possibilité d’effectuer des démarches administratives et d’apporter un soutien aux problématiques et questions sociales sur rendez-vous.&nbsp;</p>
359967a074340157ff58a478552c669a87c2524ef2f54ca26486Adie Aubervilliers - Association Pour le Droit à L’initiative ÉconomiqueEn lignehttps://soliguide.fr/fr/fiche/adie-aubervilliers-association-pour-le-droit-a-linitiative-economique-472972024-07-19 15:35:30.1862025-02-09 07:52:44.042669a6a1f524ef2f54ca0f309Dora - Seine-Saint-Denis 93AutredoraConseil budgetConseilFAUXLIEUAubervilliers9330093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.37964748.915074InconditionnelOuiNonOuiOuiNonOuiNaNAccès au micro-crédit
360067a710640157ff58a4aadcaf669a87b3524ef2f54ca25d78Adie Saint-denis - Association Pour le Droit à L’initiative ÉconomiqueEn lignehttps://soliguide.fr/fr/fiche/adie-saint-denis-association-pour-le-droit-a-linitiative-economique-472892024-07-19 15:35:15.8662025-02-09 08:10:04.418669a6a1f524ef2f54ca0f309Dora - Seine-Saint-Denis 93AutredoraConseil budgetConseilFAUXLIEUSaint-Denis9321093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.35915348.910665InconditionnelOuiNonOuiOuiNonOuiNaNAccès au micro-crédit
360167a85f620157ff58a4b19977669a87aa524ef2f54ca259daAdie Montreuil - Association Pour le Droit à L’initiative ÉconomiqueEn lignehttps://soliguide.fr/fr/fiche/adie-montreuil-association-pour-le-droit-a-linitiative-economique-472812024-07-19 15:35:06.6522025-02-09 07:55:36.949669a6a1f524ef2f54ca0f309Dora - Seine-Saint-Denis 93AutredoraConseil budgetConseilFAUXLIEUMontreuil9310093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.44400848.865594InconditionnelOuiNonOuiOuiNonOuiNaNAccès au micro-crédit
360267a861250157ff58a4b1f2a9669935801fac62f5b13c4698Adie Aulnay-sous-bois - Association Pour le Droit à L’initiative ÉconomiqueEn lignehttps://soliguide.fr/fr/fiche/adie-aulnay-sous-bois-association-pour-le-droit-a-linitiative-economique-471852024-07-18 15:32:16.5652025-02-09 08:03:02.645669a6a1f524ef2f54ca0f309Dora - Seine-Saint-Denis 93AutredoraConseil budgetConseilFAUXLIEUAulnay-sous-Bois9360093PAT du Département de Seine-Saint-DenisMétropole du Grand Paris2.48956248.926727InconditionnelOuiNonOuiOuiNonOuiNaNAccès au micro-crédit